Forensic Accounting And Investigation For Bfsi Sector

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Applying ML in AML

Last updated 2022-01-10 | 4.3

- Understanding the application of machine learning techniques in detecting money laundering

What you'll learn

Understanding the application of machine learning techniques in detecting money laundering

* Requirements

* Students should have some experience in the banking sector.
* Students should understand what is money laundering

Description

Understand the basics of the money laundering and applying the advanced technologies in combating the peril of money laundering. Understand the possible used cases of Robotics Process Automation, Artificial Intelligence and Natural Language Processing in enhancing the value of the compliance function by innovating methods to improve KYC process, customer screening and due diligence etc.

Who this course is for:

  • This course is designed for the professionals who understand the compliance domain and money laundering techniques.

Course content

3 sections • 10 lectures

Using Machine Learning in combating Money Laundering 5 lectures

Basics of AML Compliance Preview 01:55

This is the first session in the series and explains the basics of the AML Compliance such as what is Money Laundering and What is AML ?

New Banking Techologies Preview 02:49

Technologies are changing rapidly and the AML technologies are also becoming dyamic and mature. Let us understand the types of technologies used in combating the peril of money laundering.

Limitations of the Existing Technology Preview 05:39

This session is bird's eye-view of limitations and challenges faced by the current technology in compliance.

Why New Technologies are required ? Preview 02:41

This session discusses the need of using the new technologies.

Overview of the applying new technologies Preview 04:02

This session is introduction to the concepts like Machine Learning and Money Laundering.

Application of Technologies 4 lectures

Application of Machine Learning in combating money laundering Preview 05:33

AML compliance requirements encompass wide range of activities and machine learning can be used at every level to combat different aspects of money laundering.

Data Management in Machine Learning Preview 02:31

Machine learning is based on the data and this session address some of practical issues in the data quality.

Natural Language Processing Preview 01:43

Understanding how the natural language processing can help in combating the peril of money laundering

Robotic Process Automation Preview 03:49

Certified Anti Money Laundering Expert (CAME) 1 lectures

Value of CAME Certification Preview 03:30

Understand the importance of completing the Certification in Anti Money Laundering.